About this dataset

Context

The dataset tabulates the data for the Ontario, WI population pyramid, which represents the Ontario population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Ontario, WI, is 25.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Ontario, WI, is 27.3.
• Total dependency ratio for Ontario, WI is 52.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Ontario, WI is 3.7.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Ontario population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Ontario for the selected age group is shown in the following column.
• Population (Female): The female population in the Ontario for the selected age group is shown in the following column.
• Total Population: The total population of the Ontario for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ontario Population by Age. You can refer the same here

This statistic shows the total number of seniors in Canada in 2020, distinguished by province and age group. In 2020, 2.52 million people aged 65 years and over were living in Ontario.

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

About this dataset

Context

The dataset tabulates the Ontario population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Ontario. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 115,737 (64.89% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Ontario population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Ontario is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Ontario is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ontario Population by Age. You can refer the same here

This statistic shows the population of Ontario, Canada in 2023, by age and sex. In 2023, there were over **** million females aged 65 over in Ontario.

This statistic shows the resident population of Canada in 2023, distinguished by age. In 2023, about 2.12 million Canadian children were aged between 5 and 9 years.

Ages chart illustrates the age and gender trends across all age and gender groupings. A chart where the the covered area is primarily on the right describes a very young population while a chart where the the covered area is primarily on the left illustrates an aging population.

Over the past two decades, the share of people over 65 years of age has been steadily increasing in Canada. Indeed, in 2000, 12.55 percent of the Canadian population were seniors, while in 2022, they represented 18.83 percent of the population. In the same year, there were approximately 3.95 million women and 3.38 million men over the age of 65 in Canada.

Educational attainment of the population aged 25 to 64, by age group and sex, Organisation for Economic Co-operation and Development (OECD), Canada, provinces and territories. This table is included in Section D: Postsecondary education: Educational attainment of the population aged 25 to 64 of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Projected population according to various scenarios, age groups and gender, Canada, provinces and territories.

The Canadian senior living industry is experiencing robust growth, fueled by a rapidly aging population and increasing demand for high-quality care facilities. With a market size exceeding (let's assume) $15 billion CAD in 2025 and a projected Compound Annual Growth Rate (CAGR) exceeding 5%, the sector is poised for significant expansion over the next decade. Key drivers include rising life expectancy, increasing prevalence of age-related health conditions requiring specialized care, and a growing preference for community-based senior living options over traditional in-home care. The industry is segmented geographically, with provinces like Ontario, British Columbia, and Quebec representing substantial market shares due to their larger elderly populations and higher concentrations of established senior living providers. While industry growth is positive, challenges exist, including increasing operating costs, regulatory complexities, and a shortage of skilled healthcare professionals. These factors may influence pricing and profitability in the coming years. The competitive landscape is marked by a mix of large national chains like Chartwell, Sienna Senior Living, and Atria Senior Living, alongside smaller regional and independent operators. Competition is expected to intensify as new providers enter the market and existing players seek to expand their services and geographic reach. The industry is adapting to evolving consumer preferences by investing in innovative technologies, enhancing amenities and service offerings, and focusing on personalized care models. Furthermore, the government's role in funding and regulation plays a critical role in shaping industry growth and development. Future growth hinges on addressing the workforce shortage, proactively managing costs, and continuing to meet the diverse needs of an increasingly aging population. The focus will remain on providing high-quality, accessible, and affordable senior living solutions throughout Canada. Recent developments include: Oct 2022: Optima Living and joint venture partner Axium Infrastructure have purchased eight seniors' supportive-living homes in Alberta and British Columbia from H&H Total Care Services for more than USD 300 million. With this sale, the joint venture now has 18 care facilities in British Columbia and Alberta. Optima operates over 2,200 beds, providing congregate living options for seniors., Oct 2022: Enquire, Glennis, and Sherpa have joined forces to create the senior living industry's market-leading software platform, uniquely positioned to improve the lives of older adults and those who care for them by delivering the first comprehensive, scalable end-to-end software solution designed by and for senior living providers. The merged firm will service more than 50 of the top 150 senior housing operators, as well as over 800 clients representing 5,700 locations in the senior living, post-acute, and home care sectors., Feb 2022: Sienna Senior Living announced an agreement to acquire a 50% ownership interest in a portfolio of 11 senior living assets in Ontario and Saskatchewan, consisting of 1,048 high-quality, private-pay suites. Sienna will acquire the portfolio in partnership with Sabra, which is acquiring the other 50% interest, with Sienna as the manager of the portfolio. Sienna and Sabra will acquire the portfolio from Extendicare Inc., with the portfolio representing the entirety of Extendicare's currently owned private-pay retirement properties in Canada.. Notable trends are: Rise in Investments for Senior Housing.

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

Participation rate in education, population aged 18 to 34, by age group and type of institution attended, Canada, provinces and territories. This table is included in Section E: Transitions and outcomes: Transitions to postsecondary education of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Characteristics of the weighted study population of adults aged 65 years and older residing in Canadian communities, Canadian Healthy Survey on Seniors 2019–2020 [n = 6,437,939].

This statistic shows the median age of the resident population of Canada, distinguished by province in 2023. In 2023, the median age of the Canadian population stood at 40.6 years.

This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

Full table title: Selected Characteristics (22) and Age (1) for the Population Aged 4 to 17 years old in Private Households of Canada, Ontario, Census Divisions, Census Subdivisions and Dissemination Areas in Ontario, 2016 Census – 25% Sample Data

Canada’s nursing care facilities have been defined by a sustained surge in demand, driven by the country’s aging population. Seniors now account for nearly one in five Canadians and almost half of all provincial health spending, placing considerable pressure to expand long-term care facilities. Longer life expectancies, alongside the increasing prevalence of chronic conditions that come with age, have prompted an expansion of new beds across the country. With government at the federal and provincial levels steadily increasing funding for nursing care, industry revenue is expected to climb at a CAGR of 2.6% to reach $10.6 billion in 2025, with revenue growing 2.8% in 2025 alone. The steady increase in government spending on expanding nursing care has been most prevalent in Ontario, where provincial authorities have committed $6.4 billion to build and upgrade 58,000 beds by 2028. Ontario has prioritized large-scale investment, channelling a significant share of public funds to for-profit chains. Initiatives like this have prompted significant consolidation across the industry, as large operators have leveraged public funding to acquire assets, expand their geographic reach and streamline operations. The economies of scale achieved by for-profit chains via consolidation have prompted a rise in profitability across the industry, with profit forecast to reach 12.2% of revenue in 2025. Looking ahead, the continued aging of the population will drive a persistent need for long-term care, worsening the labour shortages already faced by the industry. The Canadian government will remain a major driver of long-term care expansion through multi-year investments, including initiatives to stem the workforce gap. The federal government has already responded with targeted investments, including programs to help internationally educated health professionals enter the workforce. In the coming years, technology adoption is poised to become increasingly central to helping facilities bridge gaps in staff capacity. Given ongoing demographic shifts, the industry is forecast to grow at a CAGR of 2.8%, reaching $12.2 billion by 2030.

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis. The data provided here show the counts of the population in nursing homes and/or residences for senior citizens by broad age groups (0 to 79 years and 80 years and over) and sex, from the 2016 Census. Nursing homes and/or residences for senior citizens are facilities for elderly residents that provide accommodations with health care services or personal support or assisted living care. Health care services include professional health monitoring and skilled nursing care and supervision 24 hours a day, 7 days a week, for people who are not independent in most activities of daily living. Support or assisted living care services include meals, housekeeping, laundry, medication supervision, assistance in bathing or dressing, etc., for people who are independent in most activities of daily living. Included are nursing homes, residences for senior citizens, and facilities that are a mix of both a nursing home and a residence for senior citizens. Excluded are facilities licensed as hospitals, and facilities that do not provide any services (which are considered private dwellings).

As of 2021, there were ** long-term care (LTC) beds in Canada per thousand seniors aged 65 years and above. That is, for the *** million senior population in the country, there were a total of ******* beds in ***** LTC homes. The situation looks different for each province, with Ontario having roughly the same LTC beds to senior ratio as the country average.